NLPJOB

Mulicriteria optimization

By selcting a suitable transformation, a scalar nonlinear problem is created and solved by the SQP code NLPQL. Fifteen different options are available for formulating the scalar subproblem. Weights, bounds and type of the scalar objective function can be changed interactively. Lists of efficient points and corresponding objective function values are generated and stored on files.

Special features of NLPJOB are

• numerical differentiation included
• interactive help option
• full documentation by initial comments
• FORTRAN source code

NLPJOB is a double precision FORTRAN-77 subroutine where all parameters are passed through subroutine arguments. Problem functions and gradients must be provided by the user in form of subroutines.

Need more info?

Take a look at the author's home page, or contact

Prof. K. Schittkowski 
Dept. of Mathematics
University of Bayreuth 
95440 Bayreuth, Germany 

klaus.schittkowski@uni-bayreuth.de

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